Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Postdoctal-Fellow%2C-Faculty-of-Dentistry/32424-en_GB/
We regret that only shortlisted candidates will be notified.
Job Description
We seek a PhD with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial behaviour for use in dentistry. This is not a data-science-only position prior hands-on experience in the production, characterization techniques of materials, and cell culture is required.
Core Responsibilities
- Develop and implement Python‑based AI/ML models (e.g. LSTM or time‑series models) to predict long‑term properties of bioactive materials.
- Conduct independent testing on restorative and bioactive materials under simulated oral conditions.
- Characterize independently biomaterials composition, alkalinity, mechanical properties .
- Characterize independently biomaterials bioactivity using mammalian tissue culture assays to assess cell-material interactions.
- Integrate experimental and computational workflows analyse, document, and report results.
- Prepare scientific manuscripts and grant proposals.
Qualifications
- Bachelor in Dentistry or Bachelor in Dental Technology (mandatory).
- PhD in Dentistry, Biomedical Engineering, Microbiology, or a related scientific field.
- Proficiency and independence in laboratory characterization of the physical, mechanical, and biological properties of biomaterials (mandatory).
- Proficiency and independence in developing Python‑based machine learning / artificial intelligence models (e.g., LSTM or time-series models) to predict the long-term properties of bioactive materials (mandatory).
- Proficiency and independence in mechanical testing (e.g., wear, fracture strength, fatigue) and characterization of chemical properties (ion leaching, degradation)
- Proficiency and independence in cell culture and molecular techniques, including qPCR, Western blotting, proliferation, and mineralization assays (mandatory).
- Experience in operating scanning electron microscope and confocal microscope.
- Demonstrated experience in writing original research papers in the field of machine learning and biomaterials.
The selected candidate will be offered a competitive salary and benefits.
